The Data Science & Machine Learning Courses Bundle

9 Courses & 51 Hours
Deal Price$39.99
Suggested Price
$269.91
You save 85%
The Data Science & Machine Learning Courses Bundle
$39.99$269.9185% OFF

What's Included

  • Experience level required: All levels
  • Access 21 lectures & 2 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

21 Lessons (2h)

  • Your First Program

  • Introduction to Machine Learning?

    What are Machine Learning Terminologies?2:31
    What is Machine Learning?3:53

  • Evaluation Metrics in Machine Learning

    Classification vs Regression in Machine Learning3:23
    Evaluating Performance: Classification Error Metrics18:02
    Evaluating Performance: Regression Error Metrics9:36

  • Supervised Learning with Machine Learning

    What is Supervised Learning in Machine Learning?5:06

  • Supervised Learning Algorithms

    Linear Regression Algorithm Theory7:23
    What is Bias Variance Trade-Off?10:47
    Logistic Regression Algorithm Theory4:29
    K-Fold Cross-Validation Theory4:11
    Hyperparameter Optimization Theory6:16
    K Nearest Neighbors Algorithm Theory6:25
    Decision Tree Algorithm Theory9:15
    Random Forest Algorithm Theory5:43
    Support Vector Machine Algorithm Theory5:03

  • Unsupervised Learning with Machine Learning

    What is unsupervised Learning in Machine Learning?3:31

  • Unsupervised Learning Algorithms

    Hierarchical Clustering Algorithm Theory4:31
    K Means Clustering Algorithm Theory4:06
    Principal Component Analysis (PCA) Theory8:44
    What is the Recommender System? Part 14:31
    What is the Recommender System? Part 24:08

Data Science & Machine Learning Fundamentals [Theory Only]

OA
Oak Academy

Oak Academy | Long Live Tech Knowledge

4.4/5 Instructor Rating: ★ ★ ★ ★ ★ ★


Oak Academy is a group of tech experts who have been in the sector for years and years. Deeply rooted in the tech world, they know that the tech industry's biggest problem is the "tech skills gap" and their online course is their solution. They specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to their practical alignment, they are able to constantly translate industry insights into the most in-demand and up-to-date courses.

Description

Core Theories in Data Science and Machine Learning

Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages. Machine learning helps you stay ahead of new trends, technologies, and applications in this field.

 

This theoretical course is designed to provide a comprehensive understanding of the core principles and concepts behind data science and machine learning algorithms. It focuses on the foundational theories that underpin data science, machine learning, and deep learning, without delving into hands-on programming.

 

4.5/5 average rating: ★ ★ ★ ★ ★ ★

What you'll learn

  • Access 21 lectures & 2 hours of content 24/7
  • Learn about the fundamental theories & logic driving data science practices
  • Understand the theoretical aspects of machine learning, including algorithms, models & their applications.
  • Gain knowledge about deep learning concepts &how they extend traditional machine learning techniques
  • Learn about data collection & preprocessing methods from a theoretical perspective
  • Explore advanced topics including reinforcement learning & their theoretical underpinnings
  • Know frameworks & models guiding data science practices

Who is this course for

  • Individuals interested in understanding the theoretical foundations of data science and machine learning
  • Students and professionals seeking a deeper grasp of algorithms and models used in data science
  • Those who want to enhance their theoretical knowledge before applying practical skills
  • Beginners who want a strong theoretical background before diving into hands-on projects
  • Researchers and academics looking for a comprehensive overview of data science concepts and principles

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • Certificate of Completion ONLY
  • Updates included
  • Closed captioning NOT available 
  • NOT downloadable for offline viewing 
  • Have questions on how digital purchases work? Learn more here
  • Learn more about our Lifetime deals here!

 

Requirements

  • Basic knowledge of Python
  • Be able to operate & install necessary software on your computer

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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